ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

ABOUT THE ROLE

Role Description:

In this role, you will support Amgen’s Global Supply Chain Analytics team by developing AI-powered planning products. You’ll design, build, maintain, and interpret large datasets to provide actionable business insights, develop reports, support data governance, and visualize data for accessibility and reliability. The ideal candidate has strong technical skills, experience with big data technologies, and a solid understanding of data architecture and ETL processes.

Roles & Responsibilities:

• Design, develop, and maintain data solutions for data generation, collection, and processing

  
  

• Be a key team member that assists in design and development of the data pipeline

  
  

• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems

  
  

• Contribute to the creation of metric dashboards, self-serve analytics, and business insights using Tableau or Power BI

  
  

• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency

  
  

• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions

  
  

• Adhere to best practices for coding, testing, and designing reusable code/component

  
  

• Exploratory data analysis, understand business knowledge, do feature engineering

  
  

• Support generation of annual product review documents, regulatory inspections, and process documentation

  
  

• Work with data engineers on data quality assessment, data cleansing and data analytics

  
  

Basic Qualifications and Experience:

• Bachelor’s or Master’s degree Computer Science, IT or related field experience

  
  

• 4-9 years of work experience in IT or relevant areas.

  
  

Functional Skills:

Must-Have Skills

• Hands on experience with big data technologies and platforms, such as Databricks (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing

  
  

• Hands on experience with various Python/R packages for EDA, feature engineering and machine learning model training

  
  

• Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools

  
  

• Proficiency with data visualization platforms like Tableau, Power BI, or matplotlib/seaborn for Python

  
  

• Excellent problem-solving skills and the ability to work with large, complex datasets

  
  

Good-to-Have Skills:

• Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development

  
  

• Strong understanding of data modeling, data warehousing, and data integration concepts

  
  

• Interest in GenAI/LLM technology and building data products that support natural language interfaces

  
  

Professional Certifications:

• Certified Data & Analytics professional

  
  

Soft Skills:

• Excellent critical-thinking and problem-solving skills

  
  

• Strong communication and collaboration skills

  
  

• Demonstrated awareness of how to function in a team setting

  
  

• Demonstrated presentation skills

  
  

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.